Cyvl
Posted 5 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
$125k–$195k/yrStated range
3+ yrsMinimum
2 H-1B approvalsDept. of Labor
1 green cardsCertified filings
Data PipelinesData PlatformsPythonSQLAWSWorkflow OrchestrationGeospatial DataPostGISLiDAR Point CloudsDockerKubernetesTerraform
About the company
Cyvlcyvl.com
A Boston-based tech startup delivering AI-powered geospatial insights for government infrastructure.
Visa sponsorship history
3 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.2H-1B approved
100%approval rate
1PERM certified
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20251
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20261
Job description
Summary
CYVL is a Physical AI company building sensors, computer vision, and AI that transform infrastructure data into actionable intelligence. The Data Engineer will build and scale data pipelines and platforms that process LiDAR, imagery, and GPS data into client-ready geospatial deliverables, while improving data quality, workflow automation, and processing performance on AWS.
Responsibilities
- Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs
- Build and maintain our data platform so product, AI, and analytics teams can find and use data fast
- Build automated data quality checks and monitoring that catch problems before customers do
- Partner with Data Operations and GIS teams to automate manual workflows and increase throughput
- Improve the cost and performance of processing at scale on AWS
Skills
- 3+ years building production data pipelines or data platforms
- Strong Python and SQL
- Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar)
- Experience making large, messy datasets reliable
- Comfort owning systems end to end, from design through on-call
- Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing)
- Sensor data: LiDAR point clouds, imagery, GPS/IMU
- Lakehouse formats and engines (Iceberg, Delta, DuckDB, Spark)
- Docker, Kubernetes, and Terraform
- Supporting ML training and inference pipelines
Qualifications
Must Haves
- 3+ years building production data pipelines or data platforms
- Strong Python and SQL
- Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar)
- Experience making large, messy datasets reliable
- Comfort owning systems end to end, from design through on-call
Nice to Haves
- Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing)
- Sensor data: LiDAR point clouds, imagery, GPS/IMU
- Lakehouse formats and engines (Iceberg, Delta, DuckDB, Spark)
- Docker, Kubernetes, and Terraform
- Supporting ML training and inference pipelines
Benefits
- Equity. You'll own a piece of what you're building.
- Health, dental, and vision. Cyvl covers most of the premium for you and your family.
- 401k with a real match, vested day one. Your money is yours from the start.
- Generous PTO & Paid Parental leave. Doing hard work well includes stepping away from it.
- Learning stipend. Spend it on whatever makes you sharper.
- Paid to live close. A monthly bonus for living near our Boston office.
- Team events. Time together in Boston with a team you’ll love working with.
